System and methods for spoofed domain identification and user training

ABSTRACT

Systems and methods are disclosed that minimize ongoing risk to an organization from user behaviors which magnify the severity of a spoofed domain. Systems and method are provided which enable an entity and users of an entity to identify potential harmful domains, combining search, discovery, reporting, the generation of risk indicators, end-user risk assessments, and training into a security awareness system.

This disclosure generally relates to security awareness systems andmethods useful for minimizing ongoing organization risk that is presentfrom spoofed domains.

BACKGROUND OF THE DISCLOSURE

Domain spoofing, also called URL hijacking, typo squatting, sting site,or fake URLs, is a form of cybersquatting and possibly brandjackingwhich relies on mistakes such as typos made by Internet users wheninputting a website address into a web browser. Should a useraccidentally enter an incorrect website address that looks similar tothe website address they intended to visit, they may be led to analternative website owned by a typo squatter. The typo squatter's URLwill typically contain a common misspelling or foreign language spellingof the intended site, or a misspelling based on typos, or a differentlyphrased domain name or a different top-level domain. Occasionally typosquatters will use an abuse of the top-level domain by leaving out aletter, e.g. .cm instead of .com. Spoofed domains can be used to collectinformation from unsuspecting users, to inject malware into computersystems, and to do damage to a company's brand and reputation.

BRIEF SUMMARY OF THE DISCLOSURE

Systems and methods are disclosed that minimize ongoing risk to anorganization from user behaviors which magnify the severity of a spoofeddomain. Systems and method are provided which enable an entity and usersof an entity to identify potential harmful domains, combining search,discovery, reporting, the generation of risk indicators, end-user riskassessments, and training into a security awareness system.

In some examples, a server identifies a plurality of URLs that aresimilar to domains of an entity. These domains may be called, forexample, “associated domains”, “spoofed domains”, or “look-alikedomains” and they are similar to, or look like, actual domains of theentity. The server identifies whether they are registered to a thirdparty or unregistered or registered privately, for example by checkingthe mail exchange records. Where a spoofed domain is registered to athird party, in some examples the server does not record or track thethird party that the spoofed domain is registered to. In some examples,the server does record or track the third party that the spoofed domainis registered to. A domain that is registered to a third party may beprivately registered, i.e., privately registered spoofed domains are asubset of third party spoofed domains. Where the associated domains arenot registered to the entity, the server determines a “level of spoofrisk”. In some examples, the level of spoof risk may be a measure of howdifficult it is for a user to detect an associated domain. In someexamples, the level of spoof risk of the entity domain impacts howvulnerable the entity users are and may impact one or more riskindicators of users and/or the entity. The level of spoof risk may bedetermined through a comparison of a number of available spoofed domainsof the domain name of an entity and instances in which the availablespoofed domains have been registered to third parties. In some examples,the level of spoof risk may incorporate whether the available spoofeddomain has a private registration, an active web server and/or an activemail server. In examples, the level of spoof risk may incorporate howclosely the content at the registered spoofed domain is designed toresembled content at the entity's valid domain(s).

In some examples, the server generates an electronic training campaignconfigured to train one or more users to differentiate between domainnames of the entity and spoofed domain names. The server thencommunicates the training campaign to one or more devices of the users.

The server may identify URLs that are either directed or redirected tothe domain name of the entity and may identify URLs that are spoofed bytypo squatting, URL hijacked, or that are a sting site, a phishing URL,or a fake URL. In some examples, the server identifies one or more URLsthat are permutations of the URL of the domain of the entity inPunycode. In embodiments, the server identifies which domains (of thedomains that are not registered to the entity) have active web serversor mail servers associated with them. In examples, the server determineswhether there are private registrations of the spoofed domains. Inembodiments, the identification of private registrations, active webservers and active mail servers with spoofed domains may impact one ormore risk indicators of users and/or the entity.

Electronic training generated by the server may be based on data drivenrisk assessments, including user risk indicators, previous training byusers, the level of spoof risk of the spoofed domain(s) to entity domainassociated with that user, a user's role in the organization, a user'sprofile, and a user's past training and cyber history with respect totypo squatting and spoofed domains.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing and other objects, aspects, features, and advantages ofthe disclosure will become more apparent and better understood byreferring to the following description taken in conjunction with theaccompanying drawings, in which:

FIG. 1A is a block diagram depicting an embodiment of a networkenvironment comprising client device in communication with serverdevice;

FIG. 1B is a block diagram depicting a could computing environmentcomprising client device in communication with cloud service providers;

FIGS. 1C and 1D are block diagrams depicting embodiments of computingdevices useful in connection with the methods and systems describedherein;

FIG. 2A depicts an implementation of some of the server architecture ofan implementation of a system capable of identifying spoofed domains andtraining users, according to some embodiments;

FIG. 2B depicts an implementation of some of the client architecture ofan implementation of a system capable of identifying spoofed domains andtraining users, according to some embodiments;

FIG. 3 depicts an implementation of a method for identifying spoofeddomains and providing electronic training to users, according to someembodiments; and

FIG. 4 depicts an illustration of an example of a results report from adomain test manager, according to some embodiments.

DETAILED DESCRIPTION

For purposes of reading the description of the various embodimentsbelow, the following descriptions of the sections of the specificationsand their respective contents may be helpful:

Section A describes a network environment and computing environmentwhich may be useful for practicing embodiments described herein.

Section B describes embodiments of systems and methods for creating andexecuting specific security awareness training campaigns by a securityawareness system, wherein the training campaigns utilize identifiedspoofed domain information.

A. Computing and Network Environment

Prior to discussing specific embodiments of the present solution, it maybe helpful to describe aspects of the operating environment as well asassociated system components (e.g. hardware elements) in connection withthe methods and systems described herein. Referring to FIG. 1A, anembodiment of a network environment is depicted. In a brief overview,the network environment includes one or more clients 102 a-102 n (alsogenerally referred to as local machines(s) 102, client(s) 102, clientnode(s) 102, client machine(s) 102, client computer(s) 102, clientdevice(s) 102, endpoint(s) 102, or endpoint node(s) 102) incommunication with one or more servers 106 a-106 n (also generallyreferred to as server(s) 106, node(s) 106, machine(s) 106, or remotemachine(s) 106) via one or more networks 104. In some embodiments, aclient 102 has the capacity to function as both a client node seekingaccess to resources provided by a server and as a server providingaccess to hosted resources for other clients 102 a-102 n.

Although FIG. 1A shows a network 104 between the clients 102 and theservers 106, the clients 102 and the servers 106 may be on the samenetwork 104. In some embodiments, there are multiple networks 104between the clients 102 and the servers 106. In one of theseembodiments, a network 104′ (not shown) may be a private network and anetwork 104 may be a public network. In another of these embodiments, anetwork 104 may be a private network and a network 104′ may be a publicnetwork. In still another of these embodiments, networks 104 and 104′may both be private networks.

The network 104 may be connected via wired or wireless links. Wiredlinks may include Digital Subscriber Line (DSL), coaxial cable lines, oroptical fiber lines. Wireless links may include Bluetooth®, BluetoothLow Energy (BLE), ANT/ANT+, ZigBee, Z-Wave, Thread, Wi-Fi®, WorldwideInteroperability for Microwave Access (WiMAX®), mobile WiMAX®,WiMAX®-Advanced, NFC, SigFox, LoRa, Random Phase Multiple Access (RPMA),Weightless-N/P/W, an infrared channel or a satellite band. The wirelesslinks may also include any cellular network standards to communicateamong mobile devices, including standards that qualify as 1G, 2G, 3G,4G, or 5G. The network standards may qualify as one or more generationsof mobile telecommunication standards by fulfilling a specification orstandards such as the specifications maintained by the InternationalTelecommunication Union. The 3G standards, for example, may correspondto the International Mobile Telecommuniations-2000 (IMT-2000)specification, and the 4G standards may correspond to the InternationalMobile Telecommunication Advanced (IMT-Advanced) specification. Examplesof cellular network standards include AMPS, GSM, GPRS, UMTS, CDMA2000,CDMA-1×RTT, CDMA-EVDO, LTE, LTE-Advanced, LTE-M1, and Narrowband IoT(NB-IoT). Wireless standards may use various channel access methods,e.g. FDMA, TDMA, CDMA, or SDMA. In some embodiments, different types ofdata may be transmitted via different links and standards. In otherembodiments, the same types of data may be transmitted via differentlinks and standards.

The network 104 may be any type and/or form of network. The geographicalscope of the network may vary widely and the network 104 can be a bodyarea network (BAN), a personal area network (PAN), a local-area network(LAN), e.g. Intranet, a metropolitan area network (MAN), a wide areanetwork (WAN), or the Internet. The topology of the network 104 may beof any form and may include, e.g., any of the following: point-to-point,bus, star, ring, mesh, or tree. The network 104 may be an overlaynetwork which is virtual and sits on top of one or more layers of othernetworks 104′. The network 104 may be of any such network topology asknown to those ordinarily skilled in the art capable of supporting theoperations described herein. The network 104 may utilize differenttechniques and layers or stacks of protocols, including, e.g., theEthernet protocol, the internet protocol suite (TCP/IP), the ATM(Asynchronous Transfer Mode) technique, the SONET (Synchronous OpticalNetworking) protocol, or the SDH (Synchronous Digital Hierarchy)protocol. The TCP/IP internet protocol suite may include applicationlayer, transport layer, internet layer (including, e.g., IPv4 and IPv6),or the link layer. The network 104 may be a type of broadcast network, atelecommunications network, a data communication network, or a computernetwork.

In some embodiments, the system may include multiple, logically-groupedservers 106. In one of these embodiments, the logical group of serversmay be referred to as a server farm or a machine farm. In another ofthese embodiments, the servers 106 may be geographically dispersed. Inother embodiments, a machine farm may be administered as a singleentity. In still other embodiments, the machine farm includes aplurality of machine farms. The servers 106 within each machine farm canbe heterogeneous—one or more of the servers 106 or machines 106 canoperate according to one type of operating system platform (e.g.,Windows, manufactured by Microsoft Corp. of Redmond, Wash.), while oneor more of the other servers 106 can operate according to another typeof operating system platform (e.g., Unix, Linux, or Mac OSX).

In one embodiment, servers 106 in the machine farm may be stored inhigh-density rack systems, along with associated storage systems, andlocated in an enterprise data center. In this embodiment, consolidatingthe servers 106 in this way may improve system manageability, datasecurity, the physical security of the system, and system performance bylocating servers 106 and high-performance storage systems on localizedhigh-performance networks. Centralizing the servers 106 and storagesystems and coupling them with advanced system management tools allowsmore efficient use of server resources.

The servers 106 of each machine farm do not need to be physicallyproximate to another server 106 in the same machine farm. Thus, thegroup of servers 106 logically grouped as a machine farm may beinterconnected using a wide-area network (WAN) connection or ametropolitan-area network (MAN) connection. For example, a machine farm38 may include servers 106 physically located in different continents ordifferent regions of a continent, country, state, city, campus, or room.Data transmission speeds between servers 106 in the machine farm can beincreased if the servers 106 are connected using a local-area network(LAN) connection or some form of direct connection. Additionally, aheterogeneous machine farm may include one or more servers 106 operatingaccording to a type of operating system, while one or more other serversexecute one or more types of hypervisors rather than operating systems.In these embodiments, hypervisors may be used to emulate virtualhardware, partition physical hardware, virtualize physical hardware, andexecute virtual machines that provide access to computing environments,allowing multiple operating systems to run concurrently on a hostcomputer. Native hypervisors may run directly on the host computer.Hypervisors may include VMware ESX/ESXi, manufactured by VMWare, Inc.,of Palo Alta, Calif.; the Xen hypervisor, an open source product whosedevelopment is overseen by Citrix Systems, Inc. of Fort Lauderdale,Fla.; the HYPER-V hypervisors provided by Microsoft, or others. Hostedhypervisors may run within an operating system on a second softwarelevel. Examples of hosted hypervisors may include VMWare Workstation andVirtualBox, manufactured by Oracle Corporation of Redwood City, Calif.

Management of the machine farm may be de-centralized. For example, oneor more servers 106 may comprise components, subsystems and modules tosupport one or more management services for the machine farm. In one ofthese embodiments, one or more servers 106 provide functionality formanagement of dynamic data, including techniques for handling failover,data replication, and increasing the robustness of the machine farm.Each server 106 may communicate with a persistent store and, in someembodiments, with a dynamic store.

Server 106 may be a file server, application server, web server, proxyserver, appliance, network appliance, gateway, gateway server,virtualization server, deployment server, SSL VPN server, or firewall.In one embodiment, a plurality of servers 106 may be in the path betweenany two communicating servers 106.

Referring to FIG. 1B, a cloud computing environment is depicted. A cloudcomputing environment may provide client 102 with one or more resourcesprovided by a network environment. The cloud computing environment mayinclude one or more clients 102 a-102 n, in communication with the cloud108 over one or more networks 104. Clients 102 may include, e.g., thickclients, thin clients, and zero clients. A thick client may provide atleast some functionality even when disconnected from the cloud 108 orservers 106. A thin client or zero client may depend on the connectionto the cloud 108 or server 106 to provide functionality. A zero clientmay depend on the cloud 108 or other networks 104 or servers 106 toretrieve operating system data for the client device 102. The cloud 108may include back end platforms, e.g., servers 106, storage, server farmsor data centers.

The cloud 108 may be public, private, or hybrid. Public clouds mayinclude public servers 106 that are maintained by third parties to theclients 102 or the owners of the clients. The servers 106 may be locatedoff-site in remote geographical locations as disclosed above orotherwise. Public clouds may be connected to the servers 106 over apublic network. Private clouds may include private servers 106 that arephysically maintained by clients 102 or owners of clients. Privateclouds may be connected to the servers 106 over a private network 104.Hybrid clouds 109 may include both the private and public networks 104and servers 106.

The cloud 108 may also include a cloud-based delivery, e.g. Software asa Service (SaaS) 110, Platform as a Service (PaaS) 112, andInfrastructure as a Service (IaaS) 114. IaaS may refer to a user rentingthe user of infrastructure resources that are needed during a specifiedtime period. IaaS provides may offer storage, networking, servers orvirtualization resources from large pools, allowing the users to quicklyscale up by accessing more resources as needed. Examples of IaaS includeAmazon Web Services (AWS) provided by Amazon, Inc. of Seattle, Wash.,Rackspace Cloud provided by Rackspace Inc. of San Antonio, Tex., GoogleCompute Engine provided by Google Inc. of Mountain View, Calif., orRightScale provided by RightScale, Inc. of Santa Barbara, Calif. PaaSproviders may offer functionality provided by IaaS, including, e.g.,storage, networking, servers or virtualization, as well as additionalresources, e.g., the operating system, middleware, or runtime resources.Examples of PaaS include Windows Azure provided by Microsoft Corporationof Redmond, Wash., Google App Engine provided by Google Inc., and Herokuprovided by Heroku, Inc. of San Francisco Calif. SaaS providers mayoffer the resources that PaaS provides, including storage, networking,servers, virtualization, operating system, middleware, or runtimeresources. In some embodiments, SaaS providers may offer additionalresources including, e.g., data and application resources. Examples ofSaaS include Google Apps provided by Google Inc., Salesforce provided bySalesforce.com Inc. of San Francisco, Calif., or Office365 provided byMicrosoft Corporation. Examples of SaaS may also include storageproviders, e.g. Dropbox provided by Dropbox Inc. of San Francisco,Calif., Microsoft OneDrive provided by Microsoft Corporation, GoogleDrive provided by Google Inc., or Apple iCloud provided by Apple Inc. ofCupertino, Calif.

Clients 102 may access IaaS resources with one or more IaaS standards,including, e.g., Amazon Elastic Compute Cloud (EC2), Open CloudComputing Interface (OCCI), Cloud Infrastructure Management Interface(CIMI), or OpenStack standards. Some IaaS standards may allow clientsaccess to resources over HTTP and may use Representational StateTransfer (REST) protocol or Simple Object Access Protocol (SOAP).Clients 102 may access PaaS resources with different PaaS interfaces.Some PaaS interfaces use HTTP packages, standard Java APIs, JavaMailAPI, Java Data Objects (JDO), Java Persistence API (JPA), Python APIs,web integration APIs for different programming languages including,e.g., Rack for Ruby, WSGI for Python, or PSGI for Perl, or other APIsthat may be built on REST, HTTP, XML, or other protocols. Clients 102may access SaaS resources through the use of web-based user interfaces,provided by a web browser (e.g. Google Chrome, Microsoft InternetExplorer, or Mozilla Firefox provided by Mozilla Foundation of MountainView, Calif.). Clients 102 may also access SaaS resources throughsmartphone or tablet applications, including e.g., Salesforce SalesCloud, or Google Drive App. Clients 102 may also access SaaS resourcesthrough the client operating system, including e g Windows file systemfor Dropbox.

In some embodiments, access to IaaS, PaaS, or SaaS resources may beauthenticated. For example, a server or authentication server mayauthenticate a user via security certificates, HTTPS, or API keys. APIkeys may include various encryption standards such as, e.g., AdvancedEncryption Standard (AES). Data resources may be sent over TransportLayer Security (TLS) or Secure Sockets Layer (SSL).

The client 102 and server 106 may be deployed as and/or executed on anytype and form of computing device, e.g., a computer, network device orappliance capable of communicating on any type and form of network andperforming the operations described herein.

FIGS. 1C and 1D depict block diagrams of a computing device 100 usefulfor practicing an embodiment of the client 102 or a server 106. As shownin FIGS. 1C and 1D, each computing device 100 includes a centralprocessing unit 121, and a main memory unit 122. As shown in FIG. 1C, acomputing device 100 may include a storage device 128, an installationdevice 116, a network interface 118, and I/O controller 123, displaydevices 124 a-124 n, a keyboard 126 and a pointing device 127, e.g., amouse. The storage device 128 may include, without limitation, anoperating system 129, software 131, and a software of a simulatedphishing attack system 120. As shown in FIG. 1D, each computing device100 may also include additional optional elements, e.g., a memory port103, a bridge 170, one or more input/output devices 130 a-130 n(generally referred to using reference numeral 130), and a cache memory140 in communication with the central processing unit 121.

The central processing unit 121 is any logic circuitry that responds toand processes instructions fetched from the main memory unit 122. Inmany embodiments, the central processing unit 121 is provided by amicroprocessor unit, e.g.: those manufactured by Intel Corporation ofMountain View, Calif.; those manufactured by Motorola Corporation ofSchaumburg, Ill.; the ARM processor and TEGRA system on a chip (SoC)manufactured by Nvidia of Santa Clara, Calif.; the POWER7 processor,those manufactured by International Business Machines of White Plains,N.Y.; or those manufactured by Advanced Micro Devices of Sunnyvale,Calif. The computing device 100 may be based on any of these processors,or any other processor capable of operating as described herein. Thecentral processing unit 121 may utilize instruction level parallelism,thread level parallelism, different levels of cache, and multi-coreprocessors. A multi-core processor may include two or more processingunits on a single computing component. Examples of multi-core processorsinclude the AMD PHENOM IIX2, INTER CORE i5 and INTEL CORE i7.

Main memory unit 122 may include on or more memory chips capable ofstoring data and allowing any storage location to be directly accessedby the microprocessor 121. Main memory unit 122 may be volatile andfaster than storage 128 memory. Main memory units 122 may be DynamicRandom-Access Memory (DRAM) or any variants, including staticRandom-Access Memory (SRAM), Burst SRAM or SynchBurst SRAM (BSRAM), FastPage Mode DRAM (FPM DRAM), Enhanced DRAM (EDRAM), Extended Data OutputRAM (EDO RAM), Extended Data Output DRAM (EDO DRAM), Burst Extended DataOutput DRAM (BEDO DRAM), Single Data Rate Synchronous DRAM (SDR SDRAM),Double Data Rate SDRAM (DDR SDRAM), Direct Rambus DRAM (DRDRAM), orExtreme Data Rate DRAM (XDR DRAM). In some embodiments, the main memory122 or the storage 128 may be non-volatile; e.g., non-volatile readaccess memory (NVRAM), flash memory non-volatile static RAM (nvSRAM),Ferroelectric RAM (FeRAM), Magnetoresistive RAM (MRAM), Phase-changememory (PRAM), conductive-bridging RAM (CBRAM),Silicon-Oxide-Nitride-Oxide-Silicon (SONOS), Resistive RAM (RRAM),Racetrack, Nano-RAM (NRAM), or Millipede memory. The main memory 122 maybe based on any of the above described memory chips, or any otheravailable memory chips capable of operating as described herein. In theembodiment shown in FIG. 1C, the processor 121 communicates with mainmemory 122 via a system bus 150 (described in more detail below). FIG.1D depicts an embodiment of a computing device 100 in which theprocessor communicates directly with main memory 122 via a memory port103. For example, in FIG. 1D the main memory 122 may be DRDRAM.

FIG. 1D depicts and embodiment in which the main processor 121communicates directly with cache memory 140 via a secondary bus,sometimes referred to as a backside bus. In other embodiments, the mainprocessor 121 communicates with cache memory 140 using the system bus150. Cache memory 140 typically has a faster response time than mainmemory 122 and is typically provided by SRAM, BSRAM, or EDRAM. In theembodiment shown in FIG. 1D, the processor 121 communicates with variousI/O devices 130 via a local system bus 150. Various buses may be used toconnect the central processing unit 121 to any of the I/O devices 130,including a PCI bus, a PCI-X bus, or a PCI-Express bus, or a NuBus. Forembodiments in which the I/O device is a video display 124, theprocessor 121 may use an Advanced Graphic Port (AGP) to communicate withthe display 124 or the I/O controller 123 for the display 124. FIG. 1Ddepicts and embodiment of a computer 100 in which the main processor 121communicates directly with I/O device 130 b or other processors 121′ viaHYPERTRANSPORT, RAPIDIO, or INFINIBAND communications technology. FIG.1D also depicts an embodiment in which local busses and directcommunication are mixed: the processor 121 communicates with I/O device130 a using a local interconnect bus while communicating with I/O device130 b directly.

A wide variety of I/O devices 130 a-130 n may be present in thecomputing device 100. Input devices may include keyboards, mice,trackpads, trackballs, touchpads, touch mice, multi-touch touchpads andtouch mice, microphones, multi-array microphones, drawing tablets,cameras, single-lens reflex cameras (SLR), digital SLR (DSLR), CMOSsensors, accelerometers, infrared optical sensors, pressure sensors,magnetometer sensors, angular rate sensors, depth sensors, proximitysensors, ambient light sensors, gyroscopic sensors, or other sensors.Output devices may include video displays, graphical displays, speakers,headphones, inkjet printers, laser printers, and 3D printers.

Devices 130 a-130 n may include a combination of multiple input oroutput devices, including, e.g., Microsoft KINECT, Nintendo Wiimote forthe WII, Nintendo WII U GAMEPAD, or Apple iPhone. Some devices 130 a-130n allow gesture recognition inputs through combining some of the inputsand outputs. Some devices 130 a-130 n provide for facial recognitionwhich may be utilized as an input for different purposes includingauthentication and other commands. Some devices 130 a-130 n provide forvoice recognition and inputs, including, e.g., Microsoft KINECT, SIRIfor iPhone by Apple, Google Now or Google Voice Search, and Alexa byAmazon.

Additional devices 130 a-130 n have both input and output capabilities,including, e.g., haptic feedback devices, touchscreen displays, ormulti-touch displays. Touchscreen, multi-touch displays, touchpads,touch mice, or other touch sensing devices may use differenttechnologies to sense touch, including, e.g., capacitive, surfacecapacitive, projected capacitive touch (PCT), in cell capacitive,resistive, infrared, waveguide, dispersive signal touch (DST), in-celloptical, surface acoustic wave (SAW), bending wave touch (BWT), orforce-based sensing technologies. Some multi-touch devices may allow twoor more contact points with the surface, allowing advanced functionalityincluding, e.g., pinch, spread, rotate, scroll, or other gestures. Sometouchscreen devices, including, e.g., Microsoft PIXELSENSE orMulti-Touch Collaboration Wall, may have larger surfaces, such as on atable-top or on a wall, and may also interact with other electronicdevices. Some I/O devices 130 a-130 n, display devices 124 a-124 n orgroup of devices may be augmented reality devices. The I/O devices maybe controlled by an I/O controller 123 as shown in FIG. 1C. The I/Ocontroller may control one or more I/O devices, such as, e.g., akeyboard 126 and a pointing device 127, e.g., a mouse or optical pen.Furthermore, an I/O device may also provide storage and/or aninstallation medium 116 for the computing device 100. In still otherembodiments, the computing device 100 may provide USB connections (notshown) to receive handheld USB storage devices. In further embodiments,a I/O device 130 may be a bridge between the system bus 150 and anexternal communication bus, e.g. a USB bus, a SCSI bus, a FireWire bus,an Ethernet bus, a Gigabit Ethernet bus, a Fibre Channel bus, or aThunderbolt bus.

In some embodiments, display devices 124 a-124 n may be connected to I/Ocontroller 123. Display devices may include, e.g., liquid crystaldisplays (LCD), thin film transistor LCD (TFT-LCD), blue phase LCD,electronic papers (e-ink) displays, flexile displays, light emittingdiode displays (LED), digital light processing (DLP) displays, liquidcrystal on silicon (LCOS) displays, organic light-emitting diode (OLED)displays, active-matrix organic light-emitting diode (AMOLED) displays,liquid crystal laser displays, time-multiplexed optical shutter (TMOS)displays, or 3D displays. Examples of 3D displays may use, e.g.stereoscopy, polarization filters, active shutters, or auto stereoscopy.Display devices 124 a-124 n may also be a head-mounted display (HMD). Insome embodiments, display devices 124 a-124 n or the corresponding I/Ocontrollers 123 may be controlled through or have hardware support forOPENGL or DIRECTX API or other graphics libraries.

In some embodiments, the computing device 100 may include or connect tomultiple display devices 124 a-124 n, which each may be of the same ordifferent type and/or form. As such, any of the I/O devices 130 a-130 nand/or the I/O controller 123 may include any type and/or form ofsuitable hardware, software, or combination of hardware and software tosupport, enable or provide for the connection and use of multipledisplay devices 124 a-124 n by the computing device 100. For example,the computing device 100 may include any type and/or form of videoadapter, video card, driver, and/or library to interface, communicate,connect or otherwise use the display devices 124 a-124 n. In oneembodiment, a video adapter may include multiple connectors to interfaceto multiple display devices 124 a-124 n. In other embodiments, thecomputing device 100 may include multiple video adapters, with eachvideo adapter connected to one or more of the display devices 124 a-124n. In some embodiments, any portion of the operating system of thecomputing device 100 may be configured for using multiple displays 124a-124 n. In other embodiments, one or more of the display devices 124a-124 n may be provided by one or more other computing devices 100 a or100 b connected to the computing device 100, via the network 104. Insome embodiments, software may be designed and constructed to useanother computer's display device as a second display device 124 a forthe computing device 100. For example, in one embodiment, an Apple iPadmay connect to a computing device 100 and use the display of the device100 as an additional display screen that may be used as an extendeddesktop. One ordinarily skilled in the art will recognize and appreciatethe various ways and embodiments that a computing device 100 may beconfigured to have multiple display devices 124 a-124 n.

Referring again to FIG. 1C, the computing device 100 may comprise astorage device 128 (e.g. one or more hard disk drives or redundantarrays of independent disks) for storing an operating system or otherrelated software, and for storing application software programs such asany program related to the software 120. Examples of storage device 128include, e.g., hard disk drive (HDD); optical drive including CD drive,DVD drive, or BLU-RAY drive; solid-state drive (SSD); USB flash drive;or any other device suitable for storing data. Some storage devices mayinclude multiple volatile and non-volatile memories, including, e.g.,solid state hybrid drives that combine hard disks with solid statecache. Some storage device 128 may be non-volatile, mutable, orread-only. Some storage device 128 may be internal and connect to thecomputing device 100 via a bus 150. Some storage device 128 may beexternal and connect to the computing device 100 via a I/O device 130that provides an external bus. Some storage device 128 may connect tothe computing device 100 via the network interface 118 over a network104, including, e.g., the Remote Disk for MACBOOK AIR by Apple. Someclient devices 100 may not require a non-volatile storage device 128 andmay be thin clients or zero clients 102. Some storage device 128 mayalso be used as an installation device 116 and may be suitable forinstalling software and programs. Additionally, the operating system andthe software can be run from a bootable medium, for example, a bootableCD, e.g. KNOPPIX, a bootable CD for GNU/Linux that is available as aGNU/Linux distribution from knoppix.net.

Client device 100 may also install software or application from anapplication distribution platform. Examples of application distributionplatforms include the App Store for iOS provided by Apple, Inc., the MacApp Store provided by Apple, Inc., GOOGLE PLAY for Android OS providedby Google Inc., Chrome Webstore for CHROME OS provided by Google Inc.,and Amazon Appstore for Android OS and KINDLE FIRE provided byAmazon.com, Inc. An application distribution platform may facilitateinstallation of software on a client device 102. An applicationdistribution platform may include a repository of applications on aserver 106 or a cloud 108, which the clients 102 a-102 n may access overa network 104. An application distribution platform may includeapplication developed and provided by various developers. A user of aclient device 102 may select, purchase and/or download an applicationvia the application distribution platform.

Furthermore, the computing device 100 may include a network interface118 to interface to the network 104 through a variety of connectionsincluding, but not limited to, standard telephone lines LAN or WAN links(e.g., 802.11, T1, T3, Gigabit Ethernet, InfiniBand), broadbandconnections (e.g., ISDN, Frame Relay, ATM, Gigabit Ethernet,Ethernet-over-SONET, ADSL, VDSL, BPON, GPON, fiber optical includingFiOS), wireless connections, or some combination of any or all of theabove. Connections can be established using a variety of communicationprotocols (e.g., TCP/IP, Ethernet, ARCNET, SONET, SDH, Fiber DistributedData Interface (FDDI), IEEE 802.11a/b/g/n/ac CDMA, GSM, WiMAX and directasynchronous connections). In one embodiment, the computing device 100communicates with other computing devices 100′ via any type and/or formof gateway or tunneling protocol e.g. Secure Socket Layer (SSL) orTransport Layer Security (TLS), or the Citrix Gateway Protocolmanufactured by Citrix Systems, Inc. The network interface 118 maycomprise a built-in network adapter, network interface card, PCMCIAnetwork card, EXPRESSCARD network card, card bus network adapter,wireless network adapter, USB network adapter, modem or any other devicesuitable for interfacing the computing device 100 to any type of networkcapable of communication and performing the operations described herein.

A computing device 100 of the sort depicted in FIGS. 1B and 1C mayoperate under the control of an operating system, which controlsscheduling of tasks and access to system resources. The computing device100 can be running any operating system such as any of the versions ofthe MICROSOFT WINDOWS operating systems, the different releases of theUnix and Linux operating systems, any version of the MAC OS forMacintosh computers, any embedded operating system, any real-timeoperating system, any open source operating system, any proprietaryoperating system, any operating systems for mobile computing devices, orany other operating system capable of running on the computing deviceand performing the operations described herein. Typical operatingsystems include, but are not limited to: WINDOWS 2000, WINDOWS Server2012, WINDOWS CE, WINDOWS Phone, WINDOWS XP, WINDOWS VISTA, and WINDOWS7, WINDOWS RT, WINDOWS 8 and WINDOW 10, all of which are manufactured byMicrosoft Corporation of Redmond, Wash.; MAC OS and iOS, manufactured byApple, Inc.; and Linux, a freely-available operating system, e.g. LinuxMint distribution (“distro”) or Ubuntu, distributed by Canonical Ltd. ofLondon, United Kingdom; or Unix or other Unix-like derivative operatingsystems; and Android, designed by Google Inc., among others. Someoperating systems, including, e.g., the CHROME OS by Google Inc., may beused on zero clients or thin clients, including, e.g., CHROMEBOOKS.

The computer system 100 can be any workstation, telephone, desktopcomputer, laptop or notebook computer, netbook, ULTRABOOK, tablet,server, handheld computer, mobile telephone, smartphone or otherportable telecommunications device, media playing device, a gamingsystem, mobile computing device, or any other type and/or form ofcomputing, telecommunications or media device that is capable ofcommunication. The computer system 100 has sufficient processor powerand memory capacity to perform the operations described herein. In someembodiments, the computing device 100 may have different processors,operating systems, and input devices consistent with the device. TheSamsung GALAXY smartphones, e.g., operate under the control of Androidoperating system developed by Google, Inc. GALAXY smartphones receiveinput via a touch interface.

In some embodiments, the computing device 100 is a gaming system. Forexample, the computer system 100 may comprise a PLAYSTATION 3, orPERSONAL PLAYSTATION PORTABLE (PSP), or a PLAYSTATION VITA devicemanufactured by the Sony Corporation of Tokyo, Japan, or a NINTENDO DS,NINTENDO 3DS, NINTENDO WII, or a NINTENDO WII U device manufactured byNintendo Co., Ltd., of Kyoto, Japan, or an XBOX 360 device manufacturedby Microsoft Corporation.

In some embodiments, the computing device 100 is a digital audio playersuch as the Apple IPOD, IPOD Touch, and IPOD NANO lines of devices,manufactured by Apple Computer of Cupertino, Calif. Some digital audioplayers may have other functionality, including, e.g., a gaming systemor any functionality made available by an application from a digitalapplication distribution platform. For example, the IPOD Touch mayaccess the Apple App Store. In some embodiments, the computing device100 is a portable media player or digital audio player supporting fileformats including, but not limited to, MP3, WAV, M4A/AAC, WMA ProtectedAAC, AIFF, Audible audiobook, Apple Lossless audio file formats and.mov, .m4v, and .mp4 MPEG-4 (H.264/MPEG-4 AVC) video file formats.

In some embodiments, the computing device 100 is a tablet e.g. the IPADline of devices by Apple; GALAXY TAB family of devices by Samsung; orKINDLE FIRE, by Amazon.com, Inc. of Seattle, Wash. In other embodiments,the computing device 100 is an eBook reader, e.g. the KINDLE family ofdevices by Amazon.com, or NOOK family of devices by Barnes & Noble, Inc.of New York City, N.Y.

In some embodiments, the communications device 102 includes acombination of devices, e.g. a smartphone combined with a digital audioplayer or portable media player. For example, one of these embodimentsis a smartphone, e.g. the iPhone family of smartphones manufactured byApple, Inc.; a Samsung GALAXY family of smartphones manufactured bySamsung, Inc; or a Motorola DROID family of smartphones. In yet anotherembodiment, the communications device 102 is a laptop or desktopcomputer equipped with a web browser and a microphone and speakersystem, e.g. a telephony headset. In these embodiments, thecommunications devices 102 are web-enabled and can receive and initiatephone calls. In some embodiments, a laptop or desktop computer is alsoequipped with a webcam or other video capture device that enables videochat and video call.

In some embodiments, the status of one or more machines 102, 106 in thenetwork 104 is monitored, generally as part of network management. Inone of these embodiments, the status of a machine may include anidentification of load information (e.g., the number of processes on themachine, CPU and memory utilization), of port information (e.g., thenumber of available communication ports and the port addresses), or ofsession status (e.g., the duration and type of processes, and whether aprocess is active or idle). In another of these embodiments, thisinformation may be identified by a plurality of metrics, and theplurality of metrics can be applied at least in part towards decisionsin load distribution, network traffic management, and network failurerecovery as well as any aspects of operations of the present solutiondescribed herein. Aspects of the operating environments and componentsdescribed above will become apparent in the context of the systems andmethods disclosed herein.

B. Security Awareness Training Systems and Methods

The following describes systems and methods of creating, controlling andexecuting security awareness training campaigns that utilized spoofeddomain information to minimize ongoing risk to an organization fromusers who may have difficulty identifying look-alike domains.

A system can be configured to send simulated phishing emails, textmessages, phone calls (e.g. via VoIP), video and Internet basedcommunications, all which may be referred to as “electronic training” orsimply “training”. The system may vary the quantity, frequency, type,sophistication, content, timing, and combination of training. A set oftraining emails, text messages, phone calls, video and/or Internet basedcommunications (“electronic training content”) sent to one or more usersmay be referred to as a training campaign. In some implementations, someor all of the electronic training content in a training campaign may beused to inform a user or group of users about risks and/or bestpractices for a particular subject. In some examples, all of theelectronic training content in a training campaign relates to oneparticular subject. In embodiments, all of the electronic trainingcontent in a training campaign relates to more than one subject in agroup of subjects with a common theme. In some implementations,traditional training content, such as posters, handouts, flyers, groupseminars, and the like, may be provided in addition or as a complementto electronic training content.

A training campaign may be intended to lure the user to perform anaction that is considered a risk to an IT system, in order to create ateachable moment where the user can be shown how their action cancompromise the system. In some implementations, electronic trainingcontent can be configured to look like genuine messages from internal ITsystems, external platforms, or other trusted senders in an attempt tolure the user to interact with it. In some implementations, electronictraining content of a training campaign may be intended to lure the userto provide personal information such as user names, passwords,identification numbers, account numbers, or to change their password.The desired user response is referred to as the ‘action’, or the‘requested action’, or the ‘desired action’. If the user performs theaction, then the system can respond with training, which may be called“remedial training”.

In some implementations, the system may adaptively learn the best method(e.g., set of steps) and/or the best combination of electronic contentto get the user to perform the action, such as providing personalinformation or engaging with a website. The learning process implementedby the system can be trained by observing the behavior of other users inthe same company or in the same industry, by observing the behavior ofall other users of the system, or by observing the behavior of a subsetof other users in the system based on one or more attributes of thesubset of other users meeting one or more selected criteria.

The system can record when and how the action was performed and canproduce reports about the actions that users perform in response toelectronic training. In particular, if the action is for the user toengage with a website at a spoofed domain, the system can record thedomain name that the user was spoofed by and determine what kind ofadditional training to provide to that user, or for example, users ofthe same entity, or users with similar roles, or any other groups ofusers as may be appropriate. Where the electronic training content wassent to multiple users, in some examples the system can track whethermore than one user engaged with a web site at a spoofed domain.

In some implementations, the system may provide training on why a usershould not have performed an action at the time that the user performsthe action. In some implementations, the system may add users thatperformed actions to specific user groups that are scheduled to receivegeneral or targeted remedial training at some time in the future. Insome implementations, the system may assign a user attribute to a userthat performed an action, and user attributes may be used to createquery-based groups for future training campaigns. In embodiments, theuser may be prevented from using their IT systems in a normaloperational mode until the user completes remedial training.

A security awareness system may keep logs from previous trainingcampaigns, including all actions performed on a user and all useractions performed, which may in some examples be used to inform futurecampaigns. A security awareness system may further use information fromevent logs, for example Windows event logs, as well as learningmanagement system (LMS) analysis, which may inform the securityawareness system what training a user has had, where the user performedwell and where the user struggled with the training that the usercompleted, and what the user should know. A security awareness systemmay use information from company profiling activities, for example emailexposure check results, applications used, software as a service (SaaS)services used, etc. A security awareness system may use information fromindustry profiles corresponding to an industry that a user's company isassociated with.

In some embodiments, a security awareness system is capable ofperforming risk analysis of users, groups of users, or a company. Forexample, a security awareness system may be able to perform a riskprofile of a user with respect to accessing spoofed domains. In someembodiments, a security awareness system can track events in a companyand/or for a user in a company to identify one or more risk points, forexample, in some embodiments, a system can track information that agiven user is exposed to, in order to identify a risk point. Forexample, company employees that regularly deal with wire transfers maybe likely to be at a higher risk for wire transfer fraud, and peoplethat are exposed to sensitive information may be at a higher risk forleaking intellectual property.

In some embodiments, a security awareness system training campaignduration is limited to a fixed period of time, for example a fixednumber of days. In some embodiments, a security awareness trainingcampaign will terminate once a certain percentage of users fail thecampaign, for example in a fixed period of time. In some embodiments, asecurity awareness training campaign stops when a certain percentage ofusers demonstrate compliance with one or more IT policies or procedures.

Referring to FIG. 2A in a general overview, FIG. 2A depicts some of theserver architecture of an implementation of a system 200 capable ofcreating, controlling and executing electronic campaigns, searching andtesting domains, and creating, controlling and utilizing risk scoreswith based on domain spoof risk and user behavior. In someimplementations, system 200 includes server 106 and client 102 andnetwork 104 allowing communication between these system components.Server 106 may include spoofed domain electronic training campaignmanager 210, domain test manager 222, and risk score manager 230.Spoofed domain electronic training campaign manager 210 may include userinterface manager 212, and customized training generator 214, which mayinclude virtual machine 216. In some implementations, system 200 mayinclude training completion monitor 220, and storage for domain spoofingtraining modules 218. Domain test manager 222 may spoofed domain manager226, results engine 254, and storage for organization domains 224.Spoofed domain manager 226 may include similar domain collection tool228, private domain detection service 244, web server detection service246, mail server detection service 248, domain content assessmentservice 250, and punycode/IDN detection service 252. Spoofed domainmanager 226 may include available spoofed domains storage 240 andregistered spoofed domains storage 242.

In some implementations, system 200 includes risk score manager 230,which may include entity domain exploit calculator 232, entity domainrisk calculator 234, as well as entity risk scores storage 236 and/oruser risk scores storage 238. System 200 may include one or moreexternal domain search services 256 and domain directory services 258,with which server 106 and client 102 can communicate with over network104.

Referring again to FIG. 2A in more detail, spoofed domain electronictraining campaign manager 210 generally manages the process of curating,sending, and analyzing one or more training campaigns to train usersabout spoofed or look alike domains. Spoofed domain electronic trainingcampaign manager 210 may communicate with domain test manager 222, forexample to identify similar domains to the entity domains which may beused when creating domain spoofing training modules or in generatingcustomized training In examples, spoofed domain electronic trainingcampaign manager 210 may communicate with domain search service 256,domain directory service 258, and/or client 102 via network 104.

In examples, spoofed domain electronic training campaign manager 210includes customized training generator 214, which may be implemented asor contain virtual machine 216. In examples, customized traininggenerator 214 is operable to integrate information from one or more ofdomain test manager 222, domain search service 256, domain directoryservice 258, client 102, and risk score manager 230, to generatetraining campaigns related to spoofed domains. In some examples,customized training generator 214 may generated training campaigns thatare specific to a single user. In examples, customized training managergenerates training campaigns that are applicable to multiple users,groups of users, or users associated with an entity. Spoofed domainelectronic training campaign manager 210 may include user interfacemanager 212. In some examples, responsive to a user input, spoofeddomain electronic training campaign manager 210 generates a trainingcampaign, including one or more domain spoofing training modules fromdomain spoofing training modules storage 218, responsive to one or moreinputs from risk score manager 230, domain test manager 222, and/orclient 102. For example, spoofed domain electronic training campaignmanager 210 may generate a training campaign for a user responsive to achange in a user risk score from risk score manager 230. In examples,spoofed domain electronic training campaign manager 210 may generate atraining campaign for users associated with an entity responsive to achange in an entity risk score from risk score manager 230. In examples,spoofed domain electronic training campaign manager 210 may generate atraining campaign for users and/or for an entity responsive to a newspoofed domain appearing in available spoofed domains storage 240 and/orregistered spoofed domains storage 242. In some examples, spoofed domainelectronic training campaign manager 210 may generate a trainingcampaign for users and/or for an entity responsive to results from aquery to domain search service 256 and/or domain directory service 258.In some examples, spoofed domain electronic training campaign manager210 may generate a training campaign for users and/or for an entityresponsive to a change in organization domains stored in organizationdomains storage 224.

Spoofed domain electronic training campaign manager 210 may managevarious aspects of an electronic training campaign. For example, spoofeddomain electronic training campaign manager 210 may process input fromserver 106 and/or may provide access as needed to various applications,modules, and other software components of server 106 to other variousapplications, modules, and other software components of server 106.Spoofed domain electronic training campaign manager 210 may monitor andcontrol timing of various aspects of a training campaign, may processrequests for access to training campaign results, and/or may performother tasks related to the management of a spoofed domain trainingcampaign.

In some embodiments, spoofed domain electronic training campaign manager210 may be integrated with or coupled to memory 122. In someembodiments, memory 122 may include any type and form of storage, suchas a database or file system. Memory 122 may store data such asparameters and scripts corresponding to the choices made by server 106through spoofed domain electronic training campaign manager 210, e.g. asdescribed above for a particular spoofed domain training campaign.

In an implementation, spoofed domain electronic training campaignmanager 210 includes customized training generator 214. Customizedtraining generator 214 may be integrated with or coupled to memory 122,so as to provide customized training generator 214 access to parametersassociated with messaging choices made for a particular trainingcampaign by e.g. the server 106. Customized training generator 214 maybe integrated with or coupled to memory or a memory store or otherwise astorage, such as a database, containing domain spoofing training modules218. Customized training generator 214 may be an application, service,daemon, routine, or other executable logic for generating training. Insome embodiments, customized training generator 214 can be configured togenerate messages having the ability to traverse users who interact withthe messages to a specific landing page to provide further training.

In an implementation, spoofed domain electronic training campaignmanager 210 may be e.g., another name for a system administrator, suchas a security manager, a third-party security consultant, a riskassessor, or any other party that uses spoofed domain electronictraining campaign manager 210 installed on a server. Server 106 may wishto direct a spoofed domain training test by interacting with spoofeddomain electronic training campaign manager 210 installed on server 106.Spoofed domain electronic training campaign manager 210 may be, forexample, a desktop computer, a laptop computer, a mobile device, or anyother suitable computing device. Spoofed domain electronic trainingcampaign manager 210 may be e.g., an application on a device that allowsa user of the device to interact with server 106 for e.g. purposes ofcreating, configuring, tailoring and/or executing a spoofed domaintraining test and/or viewing and/or processing and/or analyzing theresults of a spoofed domain training test.

In an implementation, spoofed domain electronic training campaignmanager 210, when executed, causes a graphical user interface to bedisplayed. In other embodiments, spoofed domain electronic trainingcampaign manager 210 allows for user input through a non-graphical userinterface, such as a user interface that accepts text or vocal inputwithout displaying an interactive image. A graphical user interface maybe displayed on a screen of a mobile phone, or a monitor connected to adesktop or laptop computer or may be displayed on any other display. Theuser may interact with e.g. the graphical user interface on the deviceby typing, clicking a mouse, tapping, speaking, or any other method ofinteracting with a user interface. The graphical user interface on thedevice may be a web-based user interface provided by a web browser (e.g.Google Chrome (Google, Mountain View, Calif.), Microsoft InternetExplorer (Microsoft, Redmond, Wash.), or Mozilla Firefox (MozillaFoundation of Mountain View, Calif.), or may be an application installedon a user device capable of opening a network connection to spoofeddomain electronic training campaign manager 210 or may be any other typeof interface.

In an implementation, spoofed domain electronic training campaignmanager 210 and/or server 106 may make choices concerning how spoofeddomain training is to be carried out. For example, a graphical userinterface run by spoofed domain electronic training campaign manager 210may be displayed to server 106. An administrator, via server 106, mayinput parameters for the training that affect how it will be carriedout. For example, via server 106 an administrator may make choices as towhich users to include as potential recipients of the training, themethod of determining which users are to be selected as potentialrecipients of the training, the timing of various aspects of thetraining, whether to use a domain spoofing training module that includesone or a plurality of actual spoofed domains, how responses fromtargeted users should be uniquely identified, and other choices. Thesechoices may be made by selecting options displayed on a graphical userinterface from dropdown menus, being presented with choices through atraining wizard, or in any other appropriate manner.

In an implementation, spoofed domain electronic training campaignmanager 210 may allow server 106, such as via application programminginterfaces (APIs), to access and/or change settings of an accountmaintained with any party involved with the training, such as, forexample, a third party security service provider, or may allow server106 to access and/or change settings of an account maintained with athird party security service provider such as one that e.g. manages anexploit server, view bills and/or make payments to a third partysecurity service provider, to perform these functions with other thirdparties involved in the training, or provide any other functions thatwould be appropriate for facilitating communications between server 106and any other parties involved in the training.

Server 106 may include risk score manager 230. Risk score manager 230may process input from server 106 and/or may provide access as needed tovarious applications, modules, and other software components of server106 to other various applications, modules, and other softwarecomponents of server 106. Risk score manager 230 may monitor and controlinputs and various other system aspects which would lead to theadjustment of user or entity risk scores, for example in response toupdated domain information in organization domains storage 224,available spoofed domains storage 240, registered spoofed domainsstorage 242, or responsive to inputs from private domain detectionservice 244, web server detection service 246, mail server detectionservice 248, domain content assessment service 250, punycode/IDNdetection service 252, results engine 254, and/or training completionmonitor 220. Risk score manager 230 may update user risk scores in userrisk scores storage 238, and/or entity risk scores in entity risk scoresstorage 236, in response to completion of one or more training modulesand/or training campaigns and may process requests for access to riskscores and/or may perform other tasks related to the management of riskscores for users and/or entities. In some embodiments, risk scoremanager 230 may be integrated with or coupled to memory 122. In someembodiments, the memory may include any type and form of storage, suchas a database or file system. Memory 122 may store data such asparameters and scripts corresponding to the choices made by server 106through risk score manager 230, e.g. as described above for a particulartraining campaign. Spoofed domain electronic training campaign manager210, domain test manager 222, and risk score manager 230 may be anapplication, service, daemon, routine, or other executable logic.

User risk scores 236 and/or entity risk scores 238 may include referenceidentifiers and/or time stamps, which enable risk score manager 230 totrack risk scores over time. The reference identifier for a user and/orentity may be integrated with or coupled to memory or a memory store orotherwise a storage, such as a database, containing referenceidentifiers. The reference identifier may be an application, service,daemon, routine, or other executable logic for recognizing referenceidentifiers and associating reference identifiers with a particular useror entity. When the system provides training to a user, the training mayinclude the user's reference identifier in the metadata of the training,which may be used by system 200 to track the details and timing of thedelivery and completion of training provided to the user. In someexamples, domain test manager 222 and/or spoofed domain electronictraining campaign manager 210 may use a reference identifier to makeinquiries, respond to inquiries, and generate reports for a user, orgroup of users. Spoofed domain electronic training campaign manager 210may alert domain test manager 222 when a user, or a group of users, hasfailed spoofed domain security awareness training. In some embodiments,the reference identifier may be used in alerts and notifications toidentify a particular user.

A risk score is a representation of a user's or group of users'vulnerability to a malicious attack. In some examples, risk scoremanager 230 calculates one or more risk scores based on information, forexample training history, phishing history, responses to simulatedphishing tests, demographic information, information about theorganization, registered spoofed domains, and available spoofed domains.In some embodiments, a risk score framework is created, which outlinesthe data that is considered in creating the risk score and the method ofcalculating the risk score. In some examples, input from domain testmanager 222 with respect to the extent of which one or more of anentity's domains are susceptible to spoofing, and/or the extent to whichone or more of an entity's domains have been spoofed, in integrated intothe determination of the risk score. In examples, aggregate informationabout one or more users who share the same organization may be used todetermine entity risk scores.

In embodiments, user training records are integrated from trainingcompletion monitor 220 as a source of information used in the creationof user risk scores 238 and/or entity risk scores 236. For example, thetraining that the user has completed, the time spent engaged in trainingactivities, the duration of the training modules that the user hascompleted, and other details related to training or learning aboutdomain spoofing is incorporated by risk score manager 230 in risk userrisk scores 238 and entity risk scores 236.

Server 106 may include domain test manager 222. Domain test manager 222may process input from server 106 and/or may provide access as needed tovarious applications, modules, and other software components of server106 to other various applications, modules, and other softwarecomponents of server 106. Domain test manager 222 may monitor similardomain collection tool 228, which may make queries to domain searchservice 256 and/or domain directory service 258 via network 104. Domaintest manager 222 may monitor when a user successfully completes spoofeddomain electronic training. In some embodiments, domain test manager 222may be integrated with or coupled to memory 122. In some embodiments,memory 122 may include any type and form of storage, such as a databaseor file system. Memory 122 may store data such as parameters and scriptscorresponding to the choices made by a server 106 through domain testmanager 222, e.g. as described above in response to a change in anygenuine or spoofed domains and/or in response to spoofed domaintraining.

Domain test manager 222 may include organization domain storage 224. Insome examples, organization domain storage 224 includes all domains thatare owned by and/or registered to the entity or company. In someembodiments, organization domain storage 224 includes informationidentifying the main domain for an organization and one or more otherdomains registered to an organization, including regional domains, thatare directed to the main domain. In some examples, organization domainstorage 224 includes a history of when domains are added to or removedfrom organization domain storage 224. Domains stored in organizationdomain storage 224 may be structured in one or more records, whereineach record corresponds to a given domain and each record comprises allof the domains that are redirected to the given domain. In someexamples, domains in organization domain storage 224 may be stored inrecords where each record consists of more than one field, for examplethe records may concatenate one or more of top-level domains (TLD) withsub domains. Domains stored in organization domain storage 224 may bestored in plain text or may be encrypted or hashed.

Domain test manager 222 may include available spoofed domains storage240. Domain test manager 222 may interact with domain search service 256and/or domain directory service 258 using similar domain collection tool228 through network 104. In some examples, domain test manager 222 mayaccess domain search service 256 and/or domain directory service 258through an API, in some examples using one or more search terms. Inexamples, domain test manager 222 may use one or more tools to createpermutations of one or more organization domains to use as search terms.For example, similar domain collection tool 228 may use the tool“dns-twist” located at www.github.com (GitHub, San Francisco, Calif.)which takes one or more organization domain names as a seed andgenerates a list of potential spoofed domains and then checks if theyare registered, tests the mail server from the MX record and determinesif the site is live. In examples, similar domain collection tool 228will search similar domains with A, AAAA, NS, and MX DNS records. Inexamples, domain searches may additionally calculate or return a rankingof spoof risk based on how similar the spoofed domain is to theorganization domain, such information may be used as inputs to entitydomain exploit calculator 232 and/or entity domain risk calculator 234and/or entity risk scores storage 236. In some embodiments, domain testmanager 222 may store searched for spoofed domains that are notregistered in available spoofed domains storage 240 and may storesearched for spoofed domains that are registered in registered spoofedstorage 242. In some embodiments, domain test manager 222 may subscribeto be notified of registration of available spoofed domains, for examplevia domain directory service 258 or domain search service 256.Registered spoofed domains database 240 may utilize data classes, whichare attributes of records of spoofed domains. Examples of data classesor attributes are “GeoIP location information”, “HTTP and SMTP servicebanners”, “creation date”, and “modification date”. In examples, domaintest manager 222 may subscribe to an RSS feed associated, for example,with domain search service 256 or domain directory service 258.

Domain test manager 222 may include similar domain collection tool 228.In some examples, similar domain collection tool 228 accessesorganization domains from organization domains storage 224. Inembodiments, similar domain collection tool 228 accesses availablespoofed domains from available spoofed domains storage 240, which mayhave been populated using one or more permutation tools. In examples,similar domain collection tool may move a domain record from availablespoofed domains 240 to registered spoofed domains 242 responsive toinformation from one or more of domain search service 256, domaindirectory service 258, or private domain detection service 244. Inexamples, spoofed domain manager 226 may include private domaindetection service 244, which is configured to determine domains that areregistered with private domain registration, such that personalinformation about the domain owner is masked. In embodiments, privatedomain detection service 256 may communicate with risk score manager 230to provide information that may be used in calculating domain riskscores, entity risk scores and/or user risk scores.

In embodiments, spoofed domain manager 226 may include web serverdetection service 246. In examples, web server detection service 246 maycomprise or utilize one or more website hosting search tools (forexamples, www.hostingchecker.com, Hosting Checker, Varna, Bulgaria)and/or web hosting IP address lookup tools. In embodiments, web serverdetection service 246 may determine host information, offline/onlinestatus, Alexa rank, Google page rank, average load time of site, and maycheck domain IP blacklist, domain age with WHOIS info, social stats andSEO reports for the web server. In examples, web server detectionservice 246 may store fields and attributes for the domain in registeredspoofed domains storage 242. In embodiments, web service detectionservice 256 may communicate with risk score manager 230 to provideinformation that may be used in calculating domain risk scores, entityrisk scores and/or user risk scores.

In some examples, domain test manager 222 may include mail serverdetection service 246. In embodiments, mail server detection service 246may check mail exchange records for registered spoofed domains inregistered spoofed domains storage 242. In some examples, mail serverdetection service 246 may use on or more tools to check records, forexample Nslookup (Microsoft, Redmond, Wash.) or DNS queries(www.dnsqueriers.com). Mail server detection service 246 can determineif a mail server is active for a given domain. In embodiments, mailserver detection service 256 may communicate with risk score manager 230to provide information that may be used in calculating domain riskscores, entity risk scores and/or user risk scores.

In some examples, domain test manager 222 may include domain contentassessment service 250. In embodiments, domain content assessmentservice 250 may include a protected sandbox environment in which to viewinformation hosted on one or more spoofed domains. In embodiments,domain content detection service 256 may communicate with risk scoremanager 230 to provide information that may be used in calculatingdomain risk scores, entity risk scores and/or user risk scores.

In some examples, domain test manager 222 may include punycode/IDNdetection service 252. In embodiments, punycode/IDN detection service252 may create punycodes, which use ASCII characters to representUnicode as per RFC 3492, and compare these punycodes against domainnames. In some embodiments, punycode/IDN detection service 252 may forexample include international domain names (IDN), translate these intoASCIII in a standard browser and compare them against organizationdomains 224. In embodiments, punycode/IDN detection service 252 mayutilize tools such as “xn-twist” located at www.github.com (GitHub, SanFrancisco, Calif.) to find typo squatters that are utilizing punycodesto spoof domains. In embodiments, punycode/IDN detection service 252 maycommunicate with risk score manager 230 to provide information that maybe used in calculating domain risk scores, entity risk scores and/oruser risk scores.

In some examples domain test manager 222 may include results engine 254.Results engine 254 may collect results from domain test manager 222 thatmay be shared with spoofed domain electronic training campaign manager210, risk score manager 230, and user interface manager 212 such thatresults may be shared with a user or administrator of security awarenesssystem.

In some embodiments, spoofed domain electronic training campaign manager210 may send the user a link through a message directing the user toremedial training. In some examples, the user may be prevented fromaccessing some functions on a user device unless or until the usercompletes one or more remedial training modules. In some examples, thesystem may lock processes on the user's device and may generate a pop upwhich notifies the user that they need to complete remedial training.The remedial training may be part of the pop up that is displayed to theuser on the user device. The pop up which may be displayed on the userdevice may include a link to a landing page where the user may accessremedial training. In some examples, the training completion monitor 220may track all the remedial training that is completed by the user,started and not completed by the user, and not started by the user.

Each of server 106, spoofed domain electronic training campaign manager210, user interface manager 212, customized training generator 214,training completion monitor 220, domain test manager 222, spoofed domainmanager 226, similar domain collection tool 228, private domaindetection service 244, web server detection service 246, mail serverdetection service 248, domain content assessment service 250,punycode/IDN detection service 252, results engine 254, risk scoremanager 230, entity domain exploit calculator 232, and entity domainrisk calculator 234 may comprise a program, service, task, script,library, application or any type and form of executable instructions orcode executable on one or more processors.

Any of server 106, spoofed domain electronic training campaign manager210, user interface manager 212, customized training generator 214,training completion monitor 220, domain test manager 222, spoofed domainmanager 226, similar domain collection tool 228, private domaindetection service 244, web server detection service 246, mail serverdetection service 248, domain content assessment service 250,punycode/IDN detection service 252, results engine 254, risk scoremanager 230, entity domain exploit calculator 232, and entity domainrisk calculator 234 may be combined into one or more modules,applications, programs, services, tasks, scripts, libraries,applications, or executable code.

Server 106 may be a part of a cluster of servers 106. In someembodiments, tasks performed by server 106 may be performed by aplurality of servers. These tasks may be allocated among the pluralityof servers by an application, service, daemon, routine, or otherexecutable logic for task allocation. The server 106 may include aprocessor and memory. Some or all of server 106 may be hosted on cloud108, for example by Amazon Web Services (AWS).

Referring to FIG. 2B, in a general overview, FIG. 2B depicts some of theclient architecture of an implementation of a system 200 capable ofcreating, controlling and executing electronic campaigns, searching andtesting domains, and creating, controlling and utilizing risk scoreswith based on domain spoof risk and user behavior. The system 200 alsoincludes client 102. Client 102 may include communications module 260,watch dog service 262, and a client service 264. The client 102 mayinclude a kernel 266 which may include a client driver 268. The clientmay include user console 270, which may include a core library (DLL)274, a process lock 282, and user pop up training 292. The client mayinclude one or more executing applications 288 and one or more messagingapplications 290 and may include a monitor library (DLL) 294.

Referring to FIG. 2B, in more detail, a client may fall victim to aspoofed domain. For example, the client may be an employee, member, orindependent contractor for an organization where the organization hasone or more domains associated with it. Client 102 may be any deviceused by the client. The client does not need to own the device for it tobe considered a client device 102. The client 102 may be any computingdevice, such as a desktop computer, a laptop, a mobile device, or anyother computing device. In some embodiments, the client 102 may be aserver or set of servers accessed by the client. For example, the clientmay be the employee or a member of an organization. The client mayaccess a server that is e.g. owned or managed or otherwise associatedwith the organization. Such a server may be a client 102.

In some implementations, client 102 may include communications module260. This may be a library, application programming interface (API), aset of scripts, or any other code that may facilitate communicationsbetween client 102 and any of server 106, a third-party server, or anyother server. In some embodiments, communications module 260 determineswhen to transmit information from client 102 to external servers vianetwork 104. In some embodiments, communications module 260 receivesinformation from server 106 via network 104. In some embodiments, theinformation transmitted or received by communications module 260 maycorrespond to a message, such as an email, generated or received bymessaging application 290.

Client 102 may include client service 264. Client service 264 mayregister client driver 268 into the operating system's kernel 266.Client driver 268 may be designed to monitor certain processes withinthe operating system. Client service 264 may ensure that client driver268 is installed properly into the operating system. Once client driver268 is registered, client service 264 may wait for other criticalstartup programs to start (like winlogon.exe or explorer.exe inWindows), and then it may start user console 270. In some examples,client service 264 also restarts user console 270 should it crash or beterminated forcefully. Client service 264 may not be associated with theuser but may be running in the background on the client all the timewhen started by watch dog service 262. In some embodiments, clientservice 264 interacts with user console 270 which runs in the user spaceallowing the system to pop up messages that target the user withdialogs. In some examples, if the user attempts to access a registeredspoofed domain that is known to server 106, client service 264 mayinteract with the user console 270 to create a pop up for the user andto activate process lock 282 such that the user cannot use any of theprocesses running on the client device. Client 102 may include user popup training 292 which is provided via the user pop up created by userconsole 270. Client service 264 may also start user console 270 forevery user that logs into a user profile. There may be several instancesof user console 270 for every logged in user. Client service 264 may bea separate component that monitors and may in some instances be able tocontrol user console 270 when initiated (e.g., initiate user pop uptraining 292, or temporarily pause execution of an application usingprocess lock 282, such as pausing execution of a web browser).

User console 270 may run in the user space of the operating system. Userconsole 270 may raise prompts, get replies, and take care of everythingthat needs to be done interactively with the user. User console 270 maybe equipped with an internal library, core library 274, which allows itto detect processes being created or terminated by the operating system.Whenever the OS creates a process, user console 270 may detect it andmay block the execution of the process using process lock 282. Userconsole 270 may connect with client service 254 for its settings.

In some examples, client 102 may include watch dog service 262. Watchdog service 262 may start and monitor client service 264. Watch dogservice 262 may be launched as a delayed service (several minutes afterall the services start, the delayed services start running) When watchdog service 262 starts up, it may check to see if client service 264 isrunning, and if not, then watch dog service 262 may start this service.In another aspect, if a user has advanced privileges and tries to killclient services 262, watch dog service 264 will see that the service isnot running, and it may start it up again. In this way, watch dogservice 264 may act as a failsafe to ensure that client service 264 isalways running Watch dog service 262 can also stop and/or restart clientservice 264.

In some embodiments, client 102 may include user interface 284 such as akeyboard, a mouse, a touch screen, or other appropriate user interface.This may be a user interface that is e.g. connected directly to client102, such as, for example, a keyboard connected to a mobile device, ormay be connected indirectly to client 102, such as, for example, a userinterface of a client device used to access a server client 102. Theclient may include display 286, such as a screen, a monitor connected tothe device in any manner, or any other appropriate display.

In an implementation, client 102 may include messaging application 290.Messaging application 290 may be any application capable of viewing,editing, and/or sending messages. For example, messaging application 290may be an instance of an application that allows viewing of a desiredmessage type, such as any web browser, a Gmail™ application (Google,Mountain View, Calif.), Microsoft Outlook™ (Microsoft, Mountain View,Calif.), WhatsApp™ (Facebook, Menlo Park, Calif.), a text messagingapplication, or any other appropriate application. In some embodiments,messaging application 290 can be configured to display spoofed domainelectronic training.

In some examples, client 102 receives spoofed domain electronic trainingsent by server 106 based upon a spoofed domain electronic trainingcampaign created by customized training generator 214 and executed byspoofed domain electronic training campaign manager 210. Client 102 mayreceive simulated phishing messages via messaging application 290,display received messages for the user using display 286, and acceptuser interaction via user interface 284 responsive to displayedmessages. In some embodiments, if the user interacts with a spoofeddomain, or fails to recognized a spoofed domain, client 102 traverses onthe client device to a landing page selected for the spoofed domainelectronic training campaign. Client 102 may lock processes on theclient device until the user completes the electronic training campaign.

Each of client 102, user interface 284, communications module 260,messaging application 290, executing application 288, client service264, user console 270, watch dog service 262 may comprise a program,service, task, script, library, application or any type and form ofexecutable instructions or code executable on one or more processors.Any of client 102, user interface 284, communications module 260,messaging application 290, executing application 288, client service264, user console 270, watch dog service 262 may be combined into one ormore modules, applications, programs, services, tasks, scripts,libraries, applications, or executable code.

Referring to FIG. 3 in a general overview, FIG. 3 depicts animplementation of a method 300 for identifying providing spoofed domainelectronic training to one or more users. In step 310, method 300 mayinclude identifying a plurality of URLs that are related to a domainname of an entity. In some examples, the method 300 may includeidentifying whether each of the plurality of URLs is registered to athird party or is unregistered (step 320). Method 300 may includecomparing a number of variants on the domain name of the entity and anumber of instances in which the number of domain name variants havebeen registered to third parties (step 330). In some embodiments, method300 may include determining a level of spoof risk of each of the URLsthat is registered to a third party (step 340). Based on one or moreURLs and their spoof risk, method 300 may include generating anelectronic training campaign (step 350). In step 360, method 300 mayinclude communicating the electronic training campaign to one or moredevices of the one or more users. Method 300 may include establishing anentity risk score based on how easy the domain is to spoof and to whatextent this has been exploited (step 370). Method 300 may also includeestablishing a user risk scored based on an entity risk score and one ormore of the difficult rating of the electronic training campaign, theuser profile, the user training history, the user's role, and the URLsused in the training campaign (step 380).

Referring to FIG. 3 in more detail, method 300 may include identifying aplurality of URLs that are related to a domain name of an entity (step310). A domain name that is related to or “associated” with a domainname of an entity is a domain name that is either identical andequivalent to the domain name of the entity or is a domain name that isvery similar in structure and appearance to a domain name of an entity,such that a user may overlook the differences between the actual domainname and the “associated” domain name. An associated domain name mayalso be called a spoofed domain name, a look-alike domain name, asimilar domain name, and/or an imposter domain name. In examples, domaintest manager 222 may use one or more tools to create permutations of oneor more organization domains to create a list of imposter domains. Forexample, domain test manager 222 may use the tool “dns-twist” located atwww.github.com (GitHub, San Francisco, Calif.) which takes one or moreorganization domain names as a seed and generates a list of potentialspoofed domains. In some examples, a plurality of URLs associated with adomain name of an entity that are not registered by the entity arestored in available spoofed domains storage 240. In some examples,similar domain collection tool 244 and punycode/IDN detection service252 may find potential spoofed domains based upon punycode (includinginternationalized) domain squats. A punycode uses ASCII characters torepresent Unicode. Punycodes, when translated to ASCII, can resemble oreven duplicate legitimate URLs.

In some examples, method 300 may include identifying whether each of theplurality of URLs is registered to the entity or to a third party (step320). In some examples, an administrator of the entity removes domainsowned by the entity from registered spoofed domains storage 242 andavailable spoofed domains storage 240. In some examples, anadministrator of the entity moves domains owned by the entity fromregistered spoof domains storage 242 and available spoofed domainsstorage 240 to organization domains storage 224. In some embodiments, anadministrator of the entity populates organization domains storage 224with domains that are registered to the organization. In some examples,domain test manager 222 may compare the list of spoofed domain nameswith domains that are stored in organization domains storage 224 andremove domains that belong to the entity from available spoofed domains240 and/or registered spoofed domains storage. In some examples, domaintest manager 222 may communicate with domain directory service 258 todetermine if a URL is registered to a third party. For example, domaintest manager 222 may look up a domain at ICANN WHOIS (www.icann.org)utilizing a query with the domain name in question or using an API withmultiple domain names in the API call. In some embodiments, a query madeto domain directory service 258 from domain test manager 222 may returninformation such as the registrar of the domain, the status of thedomain, and the date the domain was created or updated and the date thedomain expires. In some examples, information about the domain may bereturned in a raw WHOIS record, for example:

Domain Name: GOOGLE.COM

-   -   Registry Domain ID: 2138514_DOMAIN_COM-VRSN    -   Registrar WHOIS Server: whois.markmonitor.com    -   Registrar URL: http://www.markmonitor.com    -   Updated Date: 2018-02-21T18:36:40Z    -   Creation Date: 1997-09-15T04:00:00Z    -   Registry Expiry Date: 2020-09-14T04:00:00Z    -   Registrar: MarkMonitor Inc.    -   Registrar IANA ID: 292    -   Registrar Abuse Contact Email: abusecomplaints@markmonitor.com    -   Registrar Abuse Contact Phone: +1.2083895740    -   Domain Status: clientDeleteProhibited        https://icann.org/epp#clientDeleteProhibited    -   Domain Status: clientTransferProhibited        https://icann.org/epp#clientTransferProhibited    -   Domain Status: clientUpdateProhibited        https://icann.org/epp#clientUpdateProhibited    -   Domain Status: serverDeleteProhibited        https://icann.org/epp#serverDeleteProhibited    -   Domain Status: serverTransferProhibited

https://icann.org/epp#serverTransferProhibited

-   -   Domain Status: serverUpdateProhibited        https://icann.org/epp#serverUpdateProhibited    -   Name Server: NS1.GOOGLE.COM    -   Name Server: NS2.GOOGLE.COM    -   Name Server: NS3.GOOGLE.COM    -   Name Server: NS4.GOOGLE.COM    -   DNSSEC: unsigned    -   URL of the ICANN Whois Inaccuracy Complaint Form:        https://www.icann.org/wicf/

>>> Last update of whois database: 2018-09-25T17:04:36Z <<<

In some examples, domain test manager may move spoofed domains fromavailable spoofed domains storage 240 to registered spoof domainsstorage 242 upon determining through a query or API call that the domainis registered.

Method 300 may include comparing a number of variants on the domain nameof the entity and a number of instances in which the number of domainname variants have been registered to third parties (step 330). In someexamples, the domain test manager 222 may calculate a percentage ofspoofed domains that have been registered to third parties to totalspoofed domains. In some examples, user interface manager 212 maydisplay a report which comprises the total number of spoofed or“look-alike” domains that have been assessed and the total number ofregistered look alike domains (for example, as shown in FIG. 4).

In some embodiments, method 300 may include determining a level of spoofrisk of each of the URLs that is registered to a third party or isprivately registered (step 340). A domain that is registered to a thirdparty may be privately registered, i.e., privately registered spoofeddomains are a subset of third party spoofed domains. In someembodiments, a level of spoof risk for a URL that is a spoof of one ormore entity domains is higher when the associated URL has a website thatis made to look similar to, or exactly like the, actual website on theentity's domain. In some examples, a level of spoof risk for a spoofeddomain may be higher if a greater number of users fail to recognize thespoofed domain as different from the entity's actual URL or domain. Insome embodiments, a level of spoof risk is determined for an entitydomain. In examples, a level of spoof risk may be determined for one ormore spoofed domains to an entity domain. In embodiments, a level ofspoof risk for an entity domain is formed by aggregating one or morelevels of spoof risk for spoofed domains to the entity domain. In someembodiments, a level of spoof risk for an entity domain is higher whenthere are a greater number of spoofed domains. In some examples, a levelof spoof risk for an entity domain is higher when there are a greaternumber of available spoofed domains, whether or not they are registeredspoofed domains. A level of spoof risk for an entity domain may be lowerif a greater number of users at the entity have been trained about typosquatting and domain spoofing. A level of spoof risk for an entitydomain may be lower if a greater number of users at the entity havepassed security awareness tests on recognizing domains that are spoofsof their entity domain (i.e., look-alike domains). In some embodiments,a level of spoof risk for an entity domain may be higher if a greaternumber of spoofed domains have an active mail server. In examples, alevel of spoof risk for an entity domain may be higher if a greaternumber of spoofed domains have an active web server. In examples, alevel of spoof risk for an entity domain may be higher if a greaternumber of IDN or punycode spoofed domains of the entity domain have beendetected. A level of spoof risk for an entity domain may be higher if agreater number of spoofed domains are privately registered. In examples,a metric can be developed that will compare the number of potentialspoofs or twists on a domain name provided by specific tools such“xn-twist” and “dns-twist”, located at www.github.com (GitHub, SanFrancisco, Calif.), with the number of instances where those spoofdomains are found to have been registered to a third party or to beprivately registered. A domain that is registered to a third party maybe privately registered, i.e., privately registered spoofed domains area subset of third party spoofed domains. This will indicate (1) how“easy” the entity domain is to spoof and (2) to what extent this spoofrisk has already been exploited. In some examples, available spoofeddomains found by domain test manager 222 may be registered by the entityin order to prevent them from being registered by typo squatters.

Based on one or more URLs and their spoof risk, method 300 may includegenerating an electronic training campaign (step 350). Spoofed domainelectronic training campaign manager 210 and/or customized traininggenerator 214 may generate one or more training campaigns to educateusers about the risks associated with spoofed domains. In someembodiments, domain test manager 222 may execute a test on one or moreentity domains to determine several results, for example the number ofspoofed domains that have been found and/or assessed, the number ofregistered spoofed domains, the number of private domains, the number ofdomains with a mail server available, and/or the number of domains witha web server available. The results of the test may be used to testusers' knowledge of spoofed domains using a security awareness test bysystem 200. In examples, domain spoof training may be prioritized if theentity domain has been found to be highly vulnerable to spoofing (e.g.,because of a high number of available spoofed domains) and/or if thedomain is highly spoofed (e.g., because of a high number of registeredspoofed domains). In some embodiments, actual spoofed domains that havebeen found may be used in the training to render it more realistic andaccurate.

In some embodiments, spoofed domain electronic training campaign manager210 may generate a quiz for a user which shows a number of domainscomprising genuine domains and spoofed domains and which asks the userto identify which domains are real and which domains are spoofed. Usersmay be scored on the quiz. The content of the quiz may be tailored to aspecific organization or entity, group of users and/or user. In someexamples, the quiz may be given a difficulty rating based on thesimilarity of the discovered spoofed URLs to the real URLs that havebeen found by domain test manager 222 and used by spoofed domainelectronic training campaign manager 210 in generating electronictraining.

In step 360, method 300 may include communicating the electronictraining campaign to one or more devices of the one or more users.Spoofed domain electronic training can be delivered to the user bysending the user a new message with a link that takes them to remedialtraining materials. The client service 264 may create a pop up on a userdevice using user console 270. In some examples user console 270generates the pop up immediately after the user has accessed a knownspoofed domain, such as a spoofed domain in available spoofed domainsstorage 240 or registered spoofed domains storage 242. In some examples,user console 270 generates a pop up when the user next tries to accesstheir device. In some examples, the system may lock processes on theuser's device and may generate a pop up which notifies the user thatthey need to complete remedial training. The remedial training may bepart of the pop up that is displayed to the user on the user device. Thepop up which may be displayed on the user device may include a link to alanding page where the user may access remedial training In someexamples, the training completion monitor 220 may track all the remedialtraining that is completed by the user, started and not completed by theuser, and not started by the user.

Client 102 may include user pop up training 292 which is provided viathe user pop up created by user console 270. Client service 264 may alsostart user console 270 for every user that logs into a user profile.There may be several instances of user console 270 for every logged inuser. Client service 264 monitors and can in some instances control userconsole 270 when initiated (e.g., initiate user pop up training 292, ortemporarily pause execution of an application using process lock 282,such as pausing execution of a web browser).

Training generated by customized training generator 214 may be of anyappropriate format. For example, training may be provided in the form ofemail messages, text or SMS messages, messages used by particularmessaging applications such as, e.g. WhatsApp™ (Facebook, Menlo Park,Calif.), or any other type of message. Training may be provided asvideos, documents, interactive games, interactive chats, or othercontent types to be used in a particular training campaign selected bye.g. server 106 using spoofed domain electronic training campaignmanager 210. Messages and/or content may be generated in any appropriatemanner, e.g. by running an instance of an application that generates thedesired message type, such as running e g a Gmail™ application (Google,Mountain View, Calif.), Microsoft Outlook™ (Microsoft, Redmond, Wash.),a text messaging application, or any other appropriate application. Themessages may be generated by running a messaging application on e.g.virtual machine 216 or may simply be run on an operating system ofserver 106 or may be run in any other appropriate environment. Themessages may be generated to be formatted consistent with specificmessaging platforms, for example Outlook 365 (Microsoft, Redmond,Wash.), Outlook Web Access (OWA) (Microsoft, Redmond, Wash.), Webmail,iOS (Apple, Cupertino, Calif.), Gmail client (Google, Mountain View,Calif.), and so on. In some embodiments, the customized traininggenerator 214 can be configured to generate messages having the abilityto traverse users who interact with the messages to a specific landingpage to provide further training.

In some embodiments, customized training generator 214 can be configuredto generate a simulated phishing email which tests a user's response toone or more spoofed domains. The email can appear to be delivered from atrusted email address which is actually an email address associated witha spoofed domain, such as the email address of an executive of thecompany at which the targeted user is employed. In addition, the emailcan have a “Subject:” field that is intended to cause the user to takean action, such as clicking on a link or accessing the spoofed domain.In some embodiments, customized training generator 214 can generate oneor more simulated phishing emails which are stored in the domainspoofing training modules storage 218. In some embodiments, customizedtraining generator 214 can generate multiple instances of the emailwhich may be delivered to multiple users, such as a subset of all of theemployees of the company. In some embodiments, customized traininggenerator 214 can generate multiple instances of the email which may bedelivered to a user group. For example, server 106 can select any numberof employees who should be targeted by a spoofed domain training test,can create a user group and store this user group in memory 122.Customized training generator 214 can retrieve this information frommemory 122 and can generate a set of emails similar to the email, eachaddressed to a respective target identified in the information stored inthe memory 122. That is, customized training generator 214 can generatethe emails such that the “From:” and “Subject:” fields of each email areidentical, while the “To:” field is adjusted according to the desiredtargets.

A user may be selected for spoofed domain training based on a time-baseddetermination. For example, the user may be selected because of anamount of time that has passed since they last had spoofed domaintraining, or for example the amount of time since the user had lastattempted to access a spoofed domain. A user or a group of users may beselected based on a risk profile for the user or group of users. Forexample, the user may be selected because users that share similarcharacteristics to the user have been historically more prone to accessspoofed domains. Artificial intelligence and/or machine learning may beused to create spoofed domain content that is targeted towards a user orgroup of users, for example by customized training generator 214. Insome embodiments, spoofed domain electronic training campaign manager210 may use, for example, knowledge of the user's situation or location,the type of user passwords that the user has historically used, the userbreach history, the user's compliance to user IT policies and/or entityIT policies to select a predetermined template or set of templates thatmay be used, or may be modified to be used, for the spoofed domainelectronic training campaign.

In some embodiments, the actual domain chosen for training may be adomain belonging to the organization the employee works for or anyrelated domains for that entity or the domain could be chosen fromdomains that are regularly used in the course of that company's orindividual employees' work. In some embodiments, domain test manager 222may test commonly used domains instead of organization domains, for thepurpose of this type of training In this way the training can be furthertargeted to provide highly relevant examples to individual users. Insome embodiments, a similar approach may be used for otherorganizational specific items such as trademarks, trade dress, and/ornews stories about the company.

Method 300 may include establishing an entity risk score based on howeasy the domain is to spoof and to what extent this has been exploited(step 370). Method 300 may also include establishing a user risk scoredbased on an entity risk score and one or more of the difficult rating ofthe electronic training campaign, the user profile, the user traininghistory, the user's role, and the URLs used in the training campaign(step 380). In some examples, user, group or entity risk scores may beadjusted in accordance with metrics developed based on the number ofavailable spoofed domains and/or the number of registered spoofeddomains and/or the nature of the content on registered spoofed domainsthat have web servers. Responsive to the outcome of spoofed domainelectronic training, the system can take a range of actions, for exampleinitiating further training, modifying user, group, or entity riskscores, and giving HR warnings. In some embodiments, the degree,severity, frequency or intensity of the outcomes may be moderated basedon the difficulty rating given to the training. For example, someconsideration as to the similarity of the spoofed domains to the genuineentity domains could introduce some tiering into the training.

Method 300 may also include changing one or more user propertiesresponsive to the user's risk score or an entity risk score. Risk scoremanager 230 may monitor and control inputs and various other systemaspects which would lead to the adjustment of user or entity riskscores, for example in response to updated information domain testmanager 222, or inputs from similar domain collection tool 228, privatedomain detection service 244, web server detection service 246, mailserver detection service 248, domain content assessment serviced 250,punycode/IDN detection service 252, and/or training completion monitor220. Risk score manager 230 may update user risk scores in user riskscores storage 238, and/or entity risk scores in entity risk scoresstorage 236, in response to completion of one or more domain spoofingtraining modules and/or training campaigns and may process requests foraccess to risk scores and/or may perform other tasks related to themanagement of risk scores for users and/or entities.

The systems described above may provide multiple ones of any or each ofthose components and these components may be provided on either astandalone machine or, in some embodiments, on multiple machines in adistributed system. The systems and methods described above may beimplemented as a method, apparatus or article of manufacture usingprogramming and/or engineering techniques to produce software, firmware,hardware, or any combination thereof. In addition, the systems andmethods described above may be provided as one or more computer-readableprograms embodied on or in one or more articles of manufacture. The term“article of manufacture” as used herein is intended to encompass code orlogic accessible from and embedded in one or more computer-readabledevices, firmware, programmable logic, memory devices (e.g., EEPROMs,ROMs, PROMS, RAMS, SRAMs, etc.), hardware (e.g., integrated circuitchip, Field Programmable Gate Array (FPGA), Application SpecificIntegrated Circuit (ASIC), etc.), electronic devices, a computerreadable non-volatile storage unit (e.g., CD-ROM, floppy disk, hard diskdrive, etc.). The article of manufacture may be accessible from a fileserver providing access to the computer-readable programs via a networktransmission line, wireless transmission media, signals propagatingthrough space, radio waves, infrared signals, etc. The article ofmanufacture may be a flash memory card or a magnetic tape. The articleof manufacture includes hardware logic as well as software orprogrammable code embedded in a computer readable medium that isexecuted by a processor. In general, the computer-readable programs maybe implemented in any programming language, such as LISP, PERL, C, C++,C#, PROLOG, or in any byte code language such as JAVA. The softwareprograms may be stored on or in one or more articles of manufacture asobject code.

While various embodiments of the methods and systems have beendescribed, these embodiments are illustrative and in no way limit thescope of the described methods or systems. Those having skill in therelevant art can effect changes to form and details of the describedmethods and systems without departing from the broadest scope of thedescribed methods and systems. Thus, the scope of the methods andsystems described herein should not be limited by any of theillustrative embodiments and should be defined in accordance with theaccompanying claims and their equivalents.

What is claimed is:
 1. A method for providing electronic training onspoofed domains, the method comprising: (a) identifying, by a server, aplurality of uniform resource locators (URLs) related to a domain nameof an entity; (b) identifying, by the server, whether each of theplurality of URLs is registered to one of the entity or a third party ofa plurality of third parties; (c) determining, by the server, a level ofspoof risk of each of the plurality of URLs that is registered to atleast one of the plurality of third parties, wherein the level of spoofrisk comprises a comparison of a first number of spoofed domains of thedomain name of the entity identified via one or more tools to a secondnumber of instances of spoofed domains of the domain name that have beenregistered to one or more third parties of the plurality of thirdparties; (d) generating, by the server based at least on a selection ofone or more URLs from the plurality of URLs registered to at least oneof the plurality of third parties and corresponding level of spoof risk,an electronic training campaign configured to train based at least on adifficulty rating one or more users to identify between domain names ofthe entity and spoofed domain names of the selected one or more URLsregistered to at least one of the plurality of third parties; and (e)communicating, by the server, the electronic training campaign to one ormore devices of the one or more users.
 2. The method of claim 1, wherein(a) further comprises identifying one or more URLs of the plurality ofURLs that are one of directed to or redirected to the domain name of theentity.
 3. The method of claim 1, wherein (a) further comprisesidentifying one or more URLs of the plurality of URLs that are one of ormore of the following: spoofed by typo squatting, URL hijacked, a stingsite, a phishing URL or a fake URL.
 4. The method of claim 1, wherein(a) further comprises identifying one or more URLs of the plurality ofURLs that are permutations of the URL of the domain of the entity. 5.The method of claim 1, wherein (a) further comprises identifying one ormore URLs of the plurality of URLs that are punycodes.
 6. The method ofclaim 1, wherein (b) further comprises checking, by the server, mailexchange records of each of the plurality of URLs to determine whethereach of the plurality of URLs is registered to the entity or one or morethird parties of the plurality of third parties.
 7. The method of claim1, wherein (d) further comprises selecting one or more URLs of theplurality of URLs that are domain names of the entity and one or moreURLs of the plurality of URLs that are spoofed domain names registeredto one or more third parties of the plurality of third parties.
 8. Themethod of claim 1, wherein (d) further comprises generating theelectronic training campaign comprising a test for a user to identify atleast one or more spoofed domain names, the test assigned a difficultyrating.
 9. The method of claim 1, wherein (d) further comprisesgenerating a different electronic training campaign among users of aplurality of users based at least on one or more of the following:difficulty rating of the electronic training campaign, user profile,user training history, user's role and selection of the one or more URLsfrom the plurality of URLs.
 10. A system for providing electronictraining on spoofed domains, the system comprising: a server comprisingone or more processors, coupled to memory, wherein the server isconfigured to: identify a plurality of uniform resource locators (URLs)related to a domain name of an entity; identify whether each of theplurality of URLs is registered to one of the entity or a third party ofa plurality of third parties; determine a level of spoof risk of each ofthe plurality of URLs that is registered to at least one of theplurality of third parties, wherein the level of spoof risk comprises acomparison of a first number of spoofed domains of the domain name ofthe entity identified via one or more tools to second number ofinstances of spoofed domains of the domain name that have beenregistered to one or more third parties of the plurality of thirdparties; generate, based at least on a selection of one or more URLsfrom the plurality of URLs registered to at least one of the pluralityof third parties and corresponding level of spoof risk, an electronictraining campaign configured to train based at least on a difficultyrating one or more users to identify between domain names of the entityand spoofed domain names of the selected one or more URLs registered toat least one of the plurality of third parties; and communicate theelectronic training campaign to one or more devices of the one or moreusers.
 11. The system of claim 10, wherein the server is furtherconfigured to identify one or more URLs of the plurality of URLs thatare one of directed to or redirected to the domain name of the entity.12. The system of claim 10, wherein the server is further configured toidentify one or more URLs of the plurality of URLs that are one of ormore of the following: spoofed by typo squatting, URL hijacked, a stingsite, a phishing URL or a fake URL.
 13. The system of claim 10, whereinthe server is further configured to identify one or more URLs of theplurality of URLs that are permutations of the URL of the domain of theentity.
 14. The system of claim 10, wherein the server is furtherconfigured to identify one or more URLs of the plurality of URLs thatare punycodes.
 15. The system of claim 10, wherein the server is furtherconfigured to check mail exchange records of each of the plurality ofURLs to determine whether each of the plurality of URLs is registered tothe entity or one or more third parties of the plurality of thirdparties.
 16. The system of claim 10, wherein the server is furtherconfigured to select one or more URLs of the plurality of URLs that aredomain names of the entity and one or more URLs of the plurality of URLsthat are spoofed domain names registered to one or more third parties ofthe plurality of third parties.
 17. The system of claim 10, wherein theserver is further configured to generate the electronic trainingcampaign comprising a test for a user to identify at least one or morespoofed domain names, the test assigned a difficulty rating.
 18. Thesystem of claim 10, wherein the server is further configured to generatea different electronic training campaign among users of a plurality ofusers based at least on one or more of the following: difficulty ratingof the electronic training campaign, user profile, user traininghistory, user's role and selection of the one or more URLs from theplurality of URLs.